Lateral Walking Gait Recognition and Hip Angle Prediction Using a Dual-Task Learning Framework [0.03%]
基于双任务学习框架的侧向行走步态识别与髋关节角度预测
Mingxiang Luo,Meng Yin,Jinke Li et al.
Mingxiang Luo et al.
Lateral walking exercise is beneficial for the hip abductor enhancement. Accurate gait recognition and continuous hip joint angle prediction are essential for the control of exoskeletons. We propose a dual-task learning framework, the "Twin...
Recent Progress of Soft and Bioactive Materials in Flexible Bioelectronics [0.03%]
柔性生物电子学中软体和生物活性材料的最新进展
Xiaojun Wu,Yuanming Ye,Mubai Sun et al.
Xiaojun Wu et al.
Materials that establish functional, stable interfaces to targeted tissues for long-term monitoring/stimulation equipped with diagnostic/therapeutic capabilities represent breakthroughs in biomedical research and clinical medicine. A fundam...
Restoring Somatotopic Sensory Feedback in Lower Limb Amputees through Noninvasive Nerve Stimulation [0.03%]
通过非侵入性神经刺激在截肢者中恢复下肢体感反馈的部位特异性
Andrea Demofonti,Marco Germanotta,Andrea Zingaro et al.
Andrea Demofonti et al.
Patients with lower limb amputation experience ambulation disorders since they rely exclusively on visual information in addition to the tactile information they receive from stump-socket interface. The lack of sensory feedback in commercia...
Chen Feng,Lu Cao,Di Wu et al.
Chen Feng et al.
Recent advances in brain-computer interfaces (BCIs) have demonstrated the potential to decode language from brain activity into sound or text, which has predominantly focused on alphabetic languages, such as English. However, logosyllabic l...
MennaAllah Soliman,Frederick Forbes,Dana D Damian
MennaAllah Soliman
Biohybrid robots integrate biological components with synthetic materials to harness the unique capabilities of living systems for robotic functions. This study focuses on leveraging yeast fermentation dynamics to enable actuation and sensi...
Efficient Hybrid Environment Expression for Look-and-Step Behavior of Bipedal Walking [0.03%]
一种高效表达双足行走环视踏步行为的混合环境方法
Chao Li,Qingqing Li,Junhang Lai et al.
Chao Li et al.
The look-and-step behavior of biped robots requires quickly extracting planar regions and obstacles with limited computing resources. To this end, this paper proposes an efficient method representing the environment as a hybrid of feasible ...
Level-Ground and Stair Adaptation for Hip Exoskeletons Based on Continuous Locomotion Mode Perception [0.03%]
基于连续步态感知的髋部外骨骼平地和台阶行走自适应研究
Zhaoyang Wang,Dongfang Xu,Shunyi Zhao et al.
Zhaoyang Wang et al.
Hip exoskeleton can provide assistance to users to augment movements in different scenarios. The assistive control for hip exoskeleton involves the interactions among exoskeleton, user, and environment, which depends on the environment perc...
Chao Hu,Lijuan Liang,Jinran Yu et al.
Chao Hu et al.
In recent years, the rapid progression of artificial intelligence and the Internet of Things has led to a significant increase in the demand for advanced computing capabilities and more robust data storage solutions. In light of these chall...
Intuition-guided Reinforcement Learning for Soft Tissue Manipulation with Unknown Constraints [0.03%]
基于直觉的强化学习在未知约束下的软组织操纵中应用
Xian He,Shuai Zhang,Jian Chu et al.
Xian He et al.
Intraoperative soft tissue manipulation is a critical challenge in autonomous robotic surgery. Furthermore, the intricate in vivo environment surrounding the target soft tissues poses additional hindrances to autonomous robotic decision-mak...
Soft Robots with Cy5: An "Intake and Work" Imaging Technique for Intraoperative Navigation of Gastric Lesion [0.03%]
含Cy5的软体机器人：胃部病变术中导航的“摄取与工作”成像技术
Lifeng He,Yu Pan,Wei Jin et al.
Lifeng He et al.
Locating tumors during laparoscopic surgery for early gastric cancers poses an important challenge because they lack involvement with the serosal layer and remain invisible within the peritoneal cavity. To address this issue, various techni...